Deep Learning Model Developer

9 hours ago


Alwar, Rajasthan, India beBeeMachineLearning Full time ₹ 1,20,00,000 - ₹ 1,70,00,000

We are seeking a skilled professional to join our team as a Deep Learning Model Developer. The ideal candidate will design, develop and optimize deep learning models for analyzing digitized H&E slides in cancer classification and spatial mapping.

The main responsibility of this role is to develop and train convolutional neural networks (CNNs) and related machine learning models on histology images. Additionally, the candidate will preprocess, annotate and manage large image datasets to support model training and validation.

To be successful in this position, the candidate should have a strong background in computer science or a related field, with experience in machine learning, deep learning or biomedical image analysis. Proficiency in programming languages such as Python, along with experience with ML frameworks like TensorFlow or PyTorch, is also required.

Familiarity with digital pathology workflows, image preprocessing and augmentation, and annotation tools is highly valued. Collaborative skills and the ability to work effectively in a multidisciplinary research environment are essential.

Preferred qualifications include experience in cancer histopathology or biomedical image analysis, as well as knowledge of multimodal data integration, including spatial transcriptomics.

  • Develop and train CNNs and related machine learning models on H&E-stained histology images
  • Preprocess, annotate and manage large image datasets to support model training and validation
  • Collaborate with cross-disciplinary teams to integrate image-based predictions with molecular and clinical data
  • Analyze model performance and contribute to improving accuracy, efficiency and robustness
  • Document research findings and contribute to publications in peer-reviewed journals


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